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Industry · Retail & E-commerce

The data foundation that survives every platform migration.

Omnichannel retailers run AI on every customer, every SKU, every channel — without rebuilding the stack each time you replatform Shopify, swap your CDP, or acquire another brand. One governed data layer. Coexists with Snowflake and Databricks.

See your function
Keboola platform

Live in production — independent retailer to global QSR

GymBeam
Live

$250M

scaled · 75% workflows automated

Dalibor Cicman, CEO · CEE e-commerce sports nutrition on Keboola data streams

Carvago
Live

5.5M

car ads + 600K photos / day

Tomas Trnka, CDO · used-car marketplace, 8 markets, MVP in 3 months

Olfin Car
Live

%

sales growth in one quarter

Multi-brand auto retail · 2,500+ vehicles / yr · 200+ employees

Trusted by online grocery, used-car marketplaces, multi-brand auto retail, sports e-commerce, and global QSR networks

Rohlik Group
Carvago
Olfin Car
GymBeam
ShipMonk
BRIX Holdings
Firehouse Subs
Mall Group
Rohlik Group
Carvago
Olfin Car
GymBeam
ShipMonk
BRIX Holdings
Firehouse Subs
Mall Group
Rohlik Group
Carvago
Olfin Car
GymBeam
ShipMonk
BRIX Holdings
Firehouse Subs
Mall Group

The 2026 retail moment

Retail in 2026 isn't buying another tool.
It's buying the right to ship governed AI across every channel — without 7 vendor bills, broken attribution, and a 65% inventory accuracy problem.

$1.77T

lost annually to global inventory distortion — stockouts, overstocks, shrinkage. IHL Group, 2026.

80%

of enterprise AI projects fail to deliver business value. 33.8% never reach production. RAND Corporation, 2025.

$66B

marketing spend wasted yearly = 47% of every marketing dollar. Broken attribution post-cookie. LayerFive, 2026.

28-32%

Amazon take rate on seller revenue (referral + FBA + ads + storage). Feedvisor, 2026.

Who we serve best

Three retail jobs. One governed data foundation.

By function, not by category. Every omnichannel retailer has the same three pains — Keboola is the foundation under each.

Choose your segment

Inventory & Supply

65% inventory accuracy is not a 2026 strategy. Run forecasting agents on the same data your stores trust.

Store-level inventory accuracy averages 65% versus 90% in warehouses. The result: $1.77T in global retail losses every year from stockouts, overstocks, and shrinkage. Most retailers blame their POS, WMS, or e-commerce platform — but the real failure is that none of those systems share a single source of truth.Keboola is the data layer where POS + WMS + e-commerce + supplier feeds + courier data live in one governed place. Demand forecasting agents, replenishment automation, and fulfillment optimization all run against the same data your CFO already trusts.

  • 700+ pre-built connectors — POS, WMS, marketplace, supplier APIs, weather, IoT
  • Real-time inventory sync across stores, fulfillment centers, and online
  • Demand forecasting in SQL, Python, R — your data scientists own the models
  • Coexists with Snowflake, Databricks, and your retail DW — no rip-and-replace
65% inventory accuracy is not a 2026 strategy. Run forecasting agents on the same data your stores trust.

Patterns in production

Three retail patterns, one platform powering them.

Online grocery

European unicorn pattern

Rohlik Group runs 14,000+ daily Keboola jobs across 5 countries. 21,000 SKUs in one fulfillment center, 1M orders/month, +1% AOV from A/B-confirmed personalized recommendations. The data foundation under Europe's #1 grocery unicorn since day one.

14K

daily jobs · 1M orders / mo

Marketplace pattern

MVP in 3 months, not 3 years

Carvago processes 5.5M car ads + 600K photos daily across 8 markets — scam detection, multi-language standardization, dynamic pricing. A 9-person data team built the entire platform. "Without Keboola, we would need 560,000 people to do the same job." — Tomas Trnka, CDO.

5.5M

car ads / day · 8 markets

Multi-banner pattern

8 brands. 350+ locations. One platform.

BRIX Holdings unified data across 8 brands and 350+ locations — each with its own legacy POS. "All I can say is this: I wish we knew about Keboola sooner." — John Howard, Director of IT. The pattern under multi-banner retail and franchise networks.

8

brands · 350+ locations

Architecture · per-channel data flow

AI agents.
Per channel. Inside a glass box.

Most retail AI runs in a black box. Keboola's Data Agent operates inside the same governed environment — every output traceable to the SKU, customer, and channel it's grounded in. The hallucination-defense your CISO and CFO will both sign off on.

01 · SourceGoverned
Source — POS · Shopify · Amazon · Walmart Connect · Klaviyo · CRM · WMS · supplier APIs · weather

Source

POS · Shopify · Amazon · Walmart Connect · Klaviyo · CRM · WMS · supplier APIs · weather

02 · Harmonization
Harmonization — SKU master · Customer identity · Multi-channel attribution · Marketplace fee normalization

Harmonization

SKU master · Customer identity · Multi-channel attribution · Marketplace fee normalization

03 · Business GlossaryCore
Business Glossary — Per-channel revenue · Margin formulas · Loyalty cohort rules · Lineage to every report

Business Glossary

Per-channel revenue · Margin formulas · Loyalty cohort rules · Lineage to every report

04 · AI Agents
AI Agents — Demand forecaster · Pricing optimizer · Replenishment agent · Audience builder · Anomaly sentinel

AI Agents

Demand forecaster · Pricing optimizer · Replenishment agent · Audience builder · Anomaly sentinel

05 · Consumption
Consumption — Store dashboards · Reverse-ETL to ad platforms · Board pack · Agent chat · CFO margin pack

Consumption

Store dashboards · Reverse-ETL to ad platforms · Board pack · Agent chat · CFO margin pack

700+ pre-built connectors · POS · Shopify · Amazon · Walmart Connect · Klaviyo · Snowflake · Databricks · BigQuery — coexists with your stack.

The platform

The Keboola data platform — built for retail at every scale.

What makes Rohlik-grade work possible: governed AI that survives replatforms, real-time data across every channel, and an architecture that coexists with your warehouse — never replaces it.

Pillar 01 · Governance

Governed AI. No hallucinations.

80% of AI projects fail. Yours won't.

Most retail AI runs ungoverned and hallucinates SKUs, prices, and customer names. Keboola's Data Agent operates inside lineage, RBAC, and policy layers — every output traceable to the source SKU, customer, or channel.

  • Lineage from agent output back to journal entry, SKU, customer
  • RBAC granularity — no agent sees data your policy hides
  • PCI-scope-aware: card data isolated, never in the agent's context
  • Audit trail your CISO can hand to a regulator

CISO-defensible from day one

SOC 2 Type IIISO 27001GDPR-nativePCI-awareEU AI Act-ready

Pillar 02 · Real-time omni

Every channel. Every SKU.

Real-time data the way operations need it.

14K

daily Keboola jobs at Rohlik · 1M orders / month · 5 countries

POS + e-commerce + marketplace + supply chain in one governed place. The architecture under Rohlik's real-time grocery ops, Carvago's 5.5M-ad/day marketplace, and 350+ BRIX restaurant locations.

Connects

POSShopifyAmazonWalmart ConnectKlaviyoWMSsupplier APIs

Activates

MetaGoogle AdsTikTokKlaviyoBrazeTableau

700+ connectors · Reverse-ETL out of the box · Multi-region governance · Real-time pipelines.

Pillar 03 · Open architecture

Survives every replatform.

Replace tools, not your data foundation.

Coexists with Snowflake, Databricks, BigQuery, and your retail DW via Iceberg. Replaces Klaviyo + Segment + Funnel + Shopify Audiences + reverse-ETL — not your warehouse. Your stack survives Shopify→headless, Klaviyo→Braze, NetSuite→S/4HANA.

  • Iceberg-native storage — bring-your-own warehouse
  • 700+ connectors that survive vendor migration
  • MCP server for Claude, Cursor, in-house LLMs
  • One bill, one governance plane, one truth

Replaces

Klaviyo+SegmentFunnelreverse-ETLAI wrapper

Coexists with

SnowflakeDatabricksBigQueryyour DW

700+ connectors · POS · Shopify · Amazon · Walmart Connect · Klaviyo · Snowflake · Databricks · BigQuery

See all integrations

Verified by G2

CTOs and IT leaders who bet on it — and won.

Real quotes from real technology leaders. Verified by G2 and hundreds of reviews from the people doing the work.

"All I can say is this: I wish we knew about Keboola sooner. The ability to build data pipelines ourselves in a very simple manner — that is what matters most."

John Howard

John Howard

Director of IT · BRIX Holdings

"Keboola's solution has transformed our approach to data, making it a crucial part of our daily operations."

Jakub Žalio

Jakub Žalio

Group CTO · Creditinfo Group

"The successful implementation of Keboola was a crucial step to become a digital company. It propelled us to the next level."

Thilo Kusch

Thilo Kusch

Group CFO · P3 Logistic Parks

4.8on G2

Based on 100+ reviews from verified users — the people doing the work.

G2 RatingG2 LeaderG2 Easiest to Use
Read all reviews on G2 →

Ready to ship?

Production-ready AI for every customer, every SKU, every channel.

Run any AI agent or assistant against your retail data — with governance, lineage, and audit trail your CISO, CFO, and franchise partners already trust. Live in 8 weeks. Coexists with Snowflake and Databricks.

SOC 2 · ISO 27001 · GDPR · PCI-awareCoexists with Snowflake / Databricks8 weeks to first value

Talk with the team

Giorgio Pontillo

Giorgio Pontillo · CRO

Retail commercials + omnichannel pricing

Martin Lepka

Martin Lepka · CMO

Retail strategy + AI-readiness

Pavel Doležal

Pavel Doležal · CEO + Founder

Vision + 2026 roadmap

A 20-minute call. Your function mix, your channel coverage, your governance constraints. We tell you whether Keboola is the right fit before you commit anything.

No pitch deck.·No NDA needed.